Dynamic Economic Dispatch of Power System Network Having Thermal Units and Electric Vehicles using IGWO

Grey Wolf optimizer is a well - known metaheuristic technique but it faces the problem of premature convergence, trapping in local optima and poor balance between exploration and exploitation. Hence , various modifications have been proposed over past few years. One such modification is modelling the prey position as dynamic in nature as shown in GWOLF. However , still it has been observed that to get better solutio n , GWOLF needs to be modified too , hen ce an improved version of GWO (IGWO) is proposed. IGWO has the advantage of both GWO and GWOLF. In this paper, IGWO is used to solve Dynamic Economic Dispatch (DED) problem. IGWO is having a better balance between exploitation and exploration for the compl ex problem such as Dynamic Economic Dispatch (DED) taking into account of valve - point effect, transmission losses and ramp - rate limits with and without Electric Vehicles (EVs). T he efficiency of the algorithm is demonstrated on solving different DED proble ms for 5 generator and 15 generator test systems with and without losses along with different charging profile distribution of electric vehicles. The results showcased by IGWO is compared with the other algorithm. The results obtained by IGWO algorithm ad opted in solving dynamic economic dispatch problem is giving competitive results as compared to the results given by other algorithm present in literature.